SPHIRE-crYOLO: A fast and accurate fully automated particle picker for cryo-EM
T. Wagner, F. Merino, M. Stabrin, T. Moriya, C. Antoni, A. Apelbaum, P. Hagel, O. Sitsel, T. Raisch, D. Prumbaum, D. Quentin, D. Roderer, S. Tacke, B. Siebolds, E. Schubert, T. R. Shaikh, P. Lill, C. Gatsogiannis, S. Raunser
Abstract
Selecting particles from digital micrographs is an essential step in single particle electron cryomicroscopy (cryo-EM). Since manual selection is a tedious and time-consuming process, many automatic particle pickers have been developed. However, they have problems especially with non-ideal datasets. Here, we present a novel automated particle picking software called crYOLO, which is based on the deep learning object detection system \"You Only Look Once\" (YOLO). After training the network with 500 - 2,500 particles per dataset, it automatically selects the particles with high accuracy and precision reaching a speed of up to six micrographs per second. Importantly, we show that crYOLO can be trained to select previously unseen datasets paving the way for completely automated \"on-the-fly\" cryo-EM data pre-processing during data acquisition. CrYOLO is available as standalone program under http://sphire.mpg.de/ and will be part of the image processing workflow in SPHIRE.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- AutoCryoPicker: An Unsupervised Learning Approach for Fully Automated Single Particle Picking in Cryo-EM Images
Adil Al-Azzawi, Anes Ouadou, … Jianlin Jack Cheng·BMC BioinformaticsPeer-reviewed·Jun 13, 2019
- DeepCryoPicker: Fully Automated Deep Neural Network for Single Protein Particle Picking in cryo-EM
Adil Al-Azzawi, Anes Ouadou, … Jianlin Jack Cheng·BMC BioinformaticsPeer-reviewed·Nov 9, 2020
- A Self-Supervised Workflow for Particle Picking in Cryo-EM
D. M. McSweeney, S. M. McSweeney, Q. Liu·bioRxiv·Mar 13, 2020
- CryoPPP: A Large Expert-Labelled Cryo-EM Image Dataset for Machine Learning Protein Particle Picking
Ashwin Dhakal, Rajan Gyawali, … Jianlin Jack Cheng·Scientific DataPeer-reviewed·Jun 22, 2023
- ParSeek: Accurate cryo-EM particle picking with a deep learning model trained on synthetic data
Jiaqiang Qian, 龚有盛, … Qiang Huang·bioRxiv·May 11, 2026
- Real-time object locator for cryo-EM data collection--- You only navigate EM once ---
K. Yonekura, S. Maki-Yonekura, … K. Takaba·bioRxiv·Apr 7, 2021